Ziv Bar‐Joseph
- Molecular Biology top 0.5%
- Plant Science top 1%
- Cancer Research top 2%
- Genetics top 2%
- Artificial Intelligence top 2%
- Co-authors
- Jason ErnstItamar SimonDavid K. GiffordTommi JaakkolaAnthony GitterJudith Klein‐SeetharamanYanjun QiYe Yuan
- Topics
- Bioinformatics and Genomic Networks (59 papers)Gene Regulatory Network Analysis (46 papers)Single-cell and spatial transcriptomics (44 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Ziv Bar‐Joseph
151 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Molecular Biology 6.8k
- Plant Science 1.4k
- Cancer Research 755
- Genetics 736
- Artificial Intelligence 654
Countries citing papers authored by Ziv Bar‐Joseph
This map shows the geographic impact of Ziv Bar‐Joseph's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ziv Bar‐Joseph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziv Bar‐Joseph more than expected).
Fields of papers citing papers by Ziv Bar‐Joseph
This network shows the impact of papers produced by Ziv Bar‐Joseph. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ziv Bar‐Joseph. The network helps show where Ziv Bar‐Joseph may publish in the future.
Co-authorship network of co-authors of Ziv Bar‐Joseph
This figure shows the co-authorship network connecting the top 25 collaborators of Ziv Bar‐Joseph. A scholar is included among the top collaborators of Ziv Bar‐Joseph based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ziv Bar‐Joseph. Ziv Bar‐Joseph is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 37 | |
| 7 | 7 | |
| 8 | 43 | |
| 9 | 27 | |
| 10 | 37 | |
| 11 | 34 | |
| 12 | 29 | |
| 13 | 34 | |
| 14 | 14 | |
| 15 | A transcription factor hierarchy defines an environmental stress response networkbreakdown → | 396 |
| 16 | Inferring Interaction Networks using the IBP applied to microRNA Target Prediction | 9 |
| 17 | 4 | |
| 18 | Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings | 2 |
| 19 | Totally Ordered Multicast with Bounded Delays and Variable Rates. | 2 |
| 20 | Granular Synthesis of Sound Textures Using Statistical Learning | 9 |
About Ziv Bar‐Joseph
Ziv Bar‐Joseph is a scholar working on Molecular Biology, Aging and Biophysics, having authored 160 papers that have together received 10.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (59 papers), Gene Regulatory Network Analysis (46 papers) and Single-cell and spatial transcriptomics (44 papers). The work is most often cited by research in Aging (240 citations), Geriatrics and Gerontology (461 citations) and Molecular Biology (6.8k citations). Ziv Bar‐Joseph has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Jason Ernst, Itamar Simon, David K. Gifford, Tommi Jaakkola, Anthony Gitter, Judith Klein‐Seetharaman, Yanjun Qi, Ye Yuan, Gerard J. Nau and Guy Zinman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.